Inspection methods for metal surfaces: Image acquisition and algorithms for the characterization of defects

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Abstract

This chapter provides an overview of acquisition methods, specific challenges, and solutions for image-based metal surface inspection. We discuss illumination and recording methods for a wide range of tasks such as inspection of rail surfaces, weld quality assessment, inspection of holograms on metallic foils, and reconstruction of coins. Algorithms exploiting the properties of the acquired image data are presented in detail. Image acquisition, tracking, and segmentation of weld beads in harsh environments are presented. Reference and non-reference weld quality assessments are discussed. Detection of surface disruptions as well as surface classification for images of rails from a mobile acquisition platform is demonstrated. Multi-view approaches are explored for the inspection of optically variable security elements on metallic foil and light-field data processing is applied to the inspection of coins.

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Huber-Mörk, R., Domínguez, G. F., Štolc, S., Soukup, D., & Beleznai, C. (2015). Inspection methods for metal surfaces: Image acquisition and algorithms for the characterization of defects. In Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Applications (pp. 59–99). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-4471-6741-9_3

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